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File indexing completed on 2021-06-10 02:53:47

0001 #include "CondCore/Utilities/interface/PayloadInspectorModule.h"
0002 #include "CondCore/Utilities/interface/PayloadInspector.h"
0003 #include "DataFormats/EcalDetId/interface/EBDetId.h"
0004 #include "DataFormats/EcalDetId/interface/EEDetId.h"
0005 #include "CondCore/EcalPlugins/plugins/EcalDrawUtils.h"
0006 
0007 // the data format of the condition to be inspected
0008 #include "CondFormats/EcalObjects/interface/EcalLinearCorrections.h"
0009 
0010 #include "TH2F.h"
0011 #include "TCanvas.h"
0012 #include "TLine.h"
0013 #include "TStyle.h"
0014 #include "TLatex.h"
0015 
0016 #include <string>
0017 
0018 namespace {
0019   enum { kEBChannels = 61200, kEEChannels = 14648, kSides = 2, kValues = 3, kRMS = 5 };
0020   enum { MIN_IETA = 1, MIN_IPHI = 1, MAX_IETA = 85, MAX_IPHI = 360 };  // barrel lower and upper bounds on eta and phi
0021   enum { IX_MIN = 1, IY_MIN = 1, IX_MAX = 100, IY_MAX = 100 };         // endcaps lower and upper bounds on x and y
0022 
0023   /*************************************************
0024      2d plot of ECAL LinearCorrections of 1 IOV
0025   *************************************************/
0026   class EcalLinearCorrectionsPlot : public cond::payloadInspector::PlotImage<EcalLinearCorrections> {
0027   public:
0028     EcalLinearCorrectionsPlot()
0029         : cond::payloadInspector::PlotImage<EcalLinearCorrections>("ECAL LinearCorrections - map ") {
0030       setSingleIov(true);
0031     }
0032 
0033     bool fill(const std::vector<std::tuple<cond::Time_t, cond::Hash> >& iovs) override {
0034       TH2F** barrel = new TH2F*[kValues];
0035       TH2F** endc_p = new TH2F*[kValues];
0036       TH2F** endc_m = new TH2F*[kValues];
0037       double EBmean[kValues], EBrms[kValues], EEmean[kValues], EErms[kValues], pEBmin[kValues], pEBmax[kValues],
0038           pEEmin[kValues], pEEmax[kValues];
0039       int EBtot[kValues], EEtot[kValues];
0040       for (int valId = 0; valId < kValues; valId++) {
0041         barrel[valId] = new TH2F(
0042             Form("EBp%i", valId), Form("EBp%i", valId), MAX_IPHI, 0, MAX_IPHI, 2 * MAX_IETA, -MAX_IETA, MAX_IETA);
0043         endc_p[valId] = new TH2F(
0044             Form("EE+p%i", valId), Form("EE+p%i", valId), IX_MAX, IX_MIN, IX_MAX + 1, IY_MAX, IY_MIN, IY_MAX + 1);
0045         endc_m[valId] = new TH2F(
0046             Form("EE-p%i", valId), Form("EE-p%i", valId), IX_MAX, IX_MIN, IX_MAX + 1, IY_MAX, IY_MIN, IY_MAX + 1);
0047         EBmean[valId] = 0.;
0048         EBrms[valId] = 0.;
0049         EEmean[valId] = 0.;
0050         EErms[valId] = 0.;
0051         EBtot[valId] = 0;
0052         EEtot[valId] = 0;
0053       }
0054 
0055       auto iov = iovs.front();
0056       std::shared_ptr<EcalLinearCorrections> payload = fetchPayload(std::get<1>(iov));
0057       unsigned long IOV = std::get<0>(iov);
0058       int run = 0;
0059       if (IOV < 4294967296)
0060         run = std::get<0>(iov);
0061       else {  // time type IOV
0062         run = IOV >> 32;
0063         //  std::cout << " IOV " << std::hex << IOV << " run " << run << std::endl;
0064         //  std::cout << " IOV " << std::dec << IOV << " run " << run << std::endl;
0065       }
0066       if (payload.get()) {
0067         for (int ieta = -MAX_IETA; ieta <= MAX_IETA; ieta++) {
0068           Double_t eta = (Double_t)ieta;
0069           if (ieta == 0)
0070             continue;
0071           else if (ieta > 0)
0072             eta = eta - 0.5;  //   0.5 to 84.5
0073           else
0074             eta = eta + 0.5;  //  -84.5 to -0.5
0075           for (int iphi = 1; iphi <= MAX_IPHI; iphi++) {
0076             Double_t phi = (Double_t)iphi - 0.5;
0077             EBDetId id(ieta, iphi);
0078             Double_t val = (*payload).getValueMap()[id.rawId()].p1;
0079             barrel[0]->Fill(phi, eta, val);
0080             EBmean[0] = EBmean[0] + val;
0081             EBrms[0] = EBrms[0] + val * val;
0082             EBtot[0]++;
0083             val = (*payload).getValueMap()[id.rawId()].p2;
0084             barrel[1]->Fill(phi, eta, val);
0085             EBmean[1] = EBmean[1] + val;
0086             EBrms[1] = EBrms[1] + val * val;
0087             EBtot[1]++;
0088             val = (*payload).getValueMap()[id.rawId()].p3;
0089             barrel[2]->Fill(phi, eta, val);
0090             EBmean[2] = EBmean[2] + val;
0091             EBrms[2] = EBrms[2] + val * val;
0092             EBtot[2]++;
0093           }  // iphi
0094         }    // ieta
0095 
0096         for (int sign = 0; sign < kSides; sign++) {
0097           int thesign = sign == 1 ? 1 : -1;
0098           for (int ix = 1; ix <= IX_MAX; ix++) {
0099             for (int iy = 1; iy <= IY_MAX; iy++) {
0100               if (!EEDetId::validDetId(ix, iy, thesign))
0101                 continue;
0102               EEDetId id(ix, iy, thesign);
0103               Double_t val = (*payload).getValueMap()[id.rawId()].p1;
0104               EEmean[0] = EEmean[0] + val;
0105               EErms[0] = EErms[0] + val * val;
0106               EEtot[0]++;
0107               if (thesign == 1)
0108                 endc_p[0]->Fill(ix, iy, val);
0109               else
0110                 endc_m[0]->Fill(ix, iy, val);
0111               val = (*payload).getValueMap()[id.rawId()].p1;
0112               EEmean[1] = EEmean[1] + val;
0113               EErms[1] = EErms[1] + val * val;
0114               EEtot[1]++;
0115               if (thesign == 1)
0116                 endc_p[1]->Fill(ix, iy, val);
0117               else
0118                 endc_m[1]->Fill(ix, iy, val);
0119               val = (*payload).getValueMap()[id.rawId()].p2;
0120               EEmean[2] = EEmean[2] + val;
0121               EErms[2] = EErms[2] + val * val;
0122               EEtot[2]++;
0123               if (thesign == 1)
0124                 endc_p[2]->Fill(ix, iy, val);
0125               else
0126                 endc_m[2]->Fill(ix, iy, val);
0127             }  // iy
0128           }    // ix
0129         }      // side
0130       }        // if payload.get()
0131       else
0132         return false;
0133 
0134       gStyle->SetPalette(1);
0135       gStyle->SetOptStat(0);
0136       TCanvas canvas("CC map", "CC map", 2800, 2600);
0137       TLatex t1;
0138       t1.SetNDC();
0139       t1.SetTextAlign(26);
0140       t1.SetTextSize(0.05);
0141       //      t1.DrawLatex(0.5, 0.96, Form("Ecal Linear Corrections, IOV %lu", run));
0142       if (IOV < 4294967296)
0143         t1.DrawLatex(0.5, 0.96, Form("Ecal Linear Corrections, IOV %i", run));
0144       else {  // time type IOV
0145         time_t t = run;
0146         char buf[256];
0147         struct tm lt;
0148         localtime_r(&t, &lt);
0149         strftime(buf, sizeof(buf), "%F %R:%S", &lt);
0150         buf[sizeof(buf) - 1] = 0;
0151         t1.DrawLatex(0.5, 0.96, Form("Ecal Linear Corrections, IOV %s", buf));
0152       }
0153 
0154       float xmi[3] = {0.0, 0.26, 0.74};
0155       float xma[3] = {0.26, 0.74, 1.00};
0156       TPad*** pad = new TPad**[3];
0157       //      std::cout << " entries " << EBtot[0] << " mean " << EBmean[0] << " rms " << EBrms[0] << std::endl;
0158       for (int valId = 0; valId < kValues; valId++) {
0159         pad[valId] = new TPad*[3];
0160         for (int obj = 0; obj < 3; obj++) {
0161           float yma = 0.94 - (0.32 * valId);
0162           float ymi = yma - 0.28;
0163           pad[valId][obj] =
0164               new TPad(Form("p_%i_%i", obj, valId), Form("p_%i_%i", obj, valId), xmi[obj], ymi, xma[obj], yma);
0165           pad[valId][obj]->Draw();
0166         }
0167         double vt = (double)EBtot[valId];
0168         EBmean[valId] = EBmean[valId] / vt;
0169         EBrms[valId] = (EBrms[valId] / vt) - (EBmean[valId] * EBmean[valId]);
0170         EBrms[valId] = sqrt(EBrms[valId]);
0171         if (EBrms[valId] == 0.)
0172           EBrms[valId] = 0.001;
0173         pEBmin[valId] = EBmean[valId] - kRMS * EBrms[valId];
0174         pEBmax[valId] = EBmean[valId] + kRMS * EBrms[valId];
0175         //  std::cout << " mean " << EBmean[valId] << " rms " << EBrms[valId] << " entries " << EBtot[valId] << " min " << pEBmin[valId]
0176         //        << " max " << pEBmax[valId] << std::endl;
0177         vt = (double)EEtot[valId];
0178         EEmean[valId] = EEmean[valId] / vt;
0179         EErms[valId] = (EErms[valId] / vt) - (EEmean[valId] * EEmean[valId]);
0180         EErms[valId] = sqrt(EErms[valId]);
0181         if (EErms[valId] == 0.)
0182           EErms[valId] = 0.001;
0183         pEEmin[valId] = EEmean[valId] - kRMS * EErms[valId];
0184         pEEmax[valId] = EEmean[valId] + kRMS * EErms[valId];
0185         //  std::cout << " mean " << EEmean[valId] << " rms " << EErms[valId] << " entries " << EEtot[valId] << " min " << pEEmin[valId]
0186         //        << " max " << pEEmax[valId] << std::endl;
0187       }
0188 
0189       for (int valId = 0; valId < 3; valId++) {
0190         pad[valId][0]->cd();
0191         DrawEE(endc_m[valId], pEEmin[valId], pEEmax[valId]);
0192         pad[valId][1]->cd();
0193         DrawEB(barrel[valId], pEBmin[valId], pEBmax[valId]);
0194         barrel[valId]->SetStats(false);
0195         pad[valId][2]->cd();
0196         DrawEE(endc_p[valId], pEEmin[valId], pEEmax[valId]);
0197       }
0198 
0199       std::string ImageName(m_imageFileName);
0200       canvas.SaveAs(ImageName.c_str());
0201       return true;
0202     }  // fill method
0203   };   // class EcalLinearCorrectionsPlot
0204 
0205   /****************************************************************
0206      2d plot of ECAL LinearCorrections difference between 2 IOVs
0207   ****************************************************************/
0208   template <cond::payloadInspector::IOVMultiplicity nIOVs, int ntags>
0209   class EcalLinearCorrectionsDiffBase : public cond::payloadInspector::PlotImage<EcalLinearCorrections, nIOVs, ntags> {
0210   public:
0211     EcalLinearCorrectionsDiffBase()
0212         : cond::payloadInspector::PlotImage<EcalLinearCorrections, nIOVs, ntags>("ECAL LinearCorrections - map ") {}
0213 
0214     bool fill() override {
0215       TH2F** barrel = new TH2F*[kValues];
0216       TH2F** endc_p = new TH2F*[kValues];
0217       TH2F** endc_m = new TH2F*[kValues];
0218       double EBmean[kValues], EBrms[kValues], EEmean[kValues], EErms[kValues], pEBmin[kValues], pEBmax[kValues],
0219           pEEmin[kValues], pEEmax[kValues];
0220       int EBtot[kValues], EEtot[kValues];
0221       for (int valId = 0; valId < kValues; valId++) {
0222         barrel[valId] = new TH2F(
0223             Form("EBp%i", valId), Form("EBp%i", valId), MAX_IPHI, 0, MAX_IPHI, 2 * MAX_IETA, -MAX_IETA, MAX_IETA);
0224         endc_p[valId] = new TH2F(
0225             Form("EE+p%i", valId), Form("EE+p%i", valId), IX_MAX, IX_MIN, IX_MAX + 1, IY_MAX, IY_MIN, IY_MAX + 1);
0226         endc_m[valId] = new TH2F(
0227             Form("EE-p%i", valId), Form("EE-p%i", valId), IX_MAX, IX_MIN, IX_MAX + 1, IY_MAX, IY_MIN, IY_MAX + 1);
0228         EBmean[valId] = 0.;
0229         EBrms[valId] = 0.;
0230         EEmean[valId] = 0.;
0231         EErms[valId] = 0.;
0232         EBtot[valId] = 0;
0233         EEtot[valId] = 0;
0234       }
0235       float vEB[kValues][kEBChannels], vEE[kValues][kEEChannels];
0236 
0237       unsigned int run[2] = {0, 0};
0238       unsigned long IOV = 0;
0239       std::string l_tagname[2];
0240       auto iovs = cond::payloadInspector::PlotBase::getTag<0>().iovs;
0241       l_tagname[0] = cond::payloadInspector::PlotBase::getTag<0>().name;
0242       auto firstiov = iovs.front();
0243       IOV = std::get<0>(firstiov);
0244       if (IOV < 4294967296)
0245         run[0] = IOV;
0246       else {  // time type IOV
0247         run[0] = IOV >> 32;
0248       }
0249       std::tuple<cond::Time_t, cond::Hash> lastiov;
0250       if (ntags == 2) {
0251         auto tag2iovs = cond::payloadInspector::PlotBase::getTag<1>().iovs;
0252         l_tagname[1] = cond::payloadInspector::PlotBase::getTag<1>().name;
0253         lastiov = tag2iovs.front();
0254       } else {
0255         lastiov = iovs.back();
0256         l_tagname[1] = l_tagname[0];
0257       }
0258       IOV = std::get<0>(lastiov);
0259       if (IOV < 4294967296)
0260         run[1] = IOV;
0261       else {  // time type IOV
0262         run[1] = IOV >> 32;
0263       }
0264       for (int irun = 0; irun < nIOVs; irun++) {
0265         std::shared_ptr<EcalLinearCorrections> payload;
0266         if (irun == 0) {
0267           payload = this->fetchPayload(std::get<1>(firstiov));
0268         } else {
0269           payload = this->fetchPayload(std::get<1>(lastiov));
0270         }
0271         if (payload.get()) {
0272           for (int ieta = -MAX_IETA; ieta <= MAX_IETA; ieta++) {
0273             Double_t eta = (Double_t)ieta;
0274             if (ieta == 0)
0275               continue;
0276             else if (ieta > 0)
0277               eta = eta - 0.5;  //   0.5 to 84.5
0278             else
0279               eta = eta + 0.5;  //  -84.5 to -0.5
0280             for (int iphi = 1; iphi <= MAX_IPHI; iphi++) {
0281               Double_t phi = (Double_t)iphi - 0.5;
0282               EBDetId id(ieta, iphi);
0283               Double_t val = (*payload).getValueMap()[id.rawId()].p1;
0284               int channel = id.hashedIndex();
0285               if (irun == 0)
0286                 vEB[0][channel] = val;
0287               else {
0288                 double diff = val - vEB[0][channel];
0289                 barrel[0]->Fill(phi, eta, diff);
0290                 EBmean[0] = EBmean[0] + diff;
0291                 EBrms[0] = EBrms[0] + diff * diff;
0292                 EBtot[0]++;
0293               }
0294               val = (*payload).getValueMap()[id.rawId()].p2;
0295               if (irun == 0)
0296                 vEB[1][channel] = val;
0297               else {
0298                 double diff = val - vEB[1][channel];
0299                 barrel[1]->Fill(phi, eta, diff);
0300                 EBmean[1] = EBmean[1] + diff;
0301                 EBrms[1] = EBrms[1] + diff * diff;
0302                 EBtot[1]++;
0303               }
0304               val = (*payload).getValueMap()[id.rawId()].p3;
0305               if (irun == 0)
0306                 vEB[2][channel] = val;
0307               else {
0308                 double diff = val - vEB[2][channel];
0309                 barrel[2]->Fill(phi, eta, diff);
0310                 EBmean[2] = EBmean[2] + diff;
0311                 EBrms[2] = EBrms[2] + diff * diff;
0312                 EBtot[2]++;
0313               }
0314             }  // iphi
0315           }    // ieta
0316 
0317           for (int sign = 0; sign < kSides; sign++) {
0318             int thesign = sign == 1 ? 1 : -1;
0319             for (int ix = 1; ix <= IX_MAX; ix++) {
0320               for (int iy = 1; iy <= IY_MAX; iy++) {
0321                 if (!EEDetId::validDetId(ix, iy, thesign))
0322                   continue;
0323                 EEDetId id(ix, iy, thesign);
0324                 Double_t val = (*payload).getValueMap()[id.rawId()].p1;
0325                 int channel = id.hashedIndex();
0326                 if (irun == 0)
0327                   vEE[0][channel] = val;
0328                 else {
0329                   double diff = val - vEE[0][channel];
0330                   EEmean[0] = EEmean[0] + diff;
0331                   EErms[0] = EErms[0] + diff * diff;
0332                   EEtot[0]++;
0333                   if (thesign == 1)
0334                     endc_p[0]->Fill(ix, iy, diff);
0335                   else
0336                     endc_m[0]->Fill(ix, iy, diff);
0337                 }
0338                 val = (*payload).getValueMap()[id.rawId()].p1;
0339                 if (irun == 0)
0340                   vEE[1][channel] = val;
0341                 else {
0342                   double diff = val - vEE[1][channel];
0343                   EEmean[1] = EEmean[1] + diff;
0344                   EErms[1] = EErms[1] + diff * diff;
0345                   EEtot[1]++;
0346                   if (thesign == 1)
0347                     endc_p[1]->Fill(ix, iy, diff);
0348                   else
0349                     endc_m[1]->Fill(ix, iy, diff);
0350                 }
0351                 val = (*payload).getValueMap()[id.rawId()].p2;
0352                 if (irun == 0)
0353                   vEE[2][channel] = val;
0354                 else {
0355                   double diff = val - vEE[2][channel];
0356                   EEmean[2] = EEmean[2] + diff;
0357                   EErms[2] = EErms[2] + diff * diff;
0358                   EEtot[2]++;
0359                   if (thesign == 1)
0360                     endc_p[2]->Fill(ix, iy, diff);
0361                   else
0362                     endc_m[2]->Fill(ix, iy, diff);
0363                 }
0364               }  // iy
0365             }    // ix
0366           }      // side
0367         }        // if payload.get()
0368         else
0369           return false;
0370       }  // loop over IOVs
0371 
0372       gStyle->SetPalette(1);
0373       gStyle->SetOptStat(0);
0374       TCanvas canvas("CC map", "CC map", 2800, 2600);
0375       TLatex t1;
0376       t1.SetNDC();
0377       t1.SetTextAlign(26);
0378       //      t1.DrawLatex(0.5, 0.96, Form("Ecal Linear Corrections, IOV %lu", run));
0379       int len = l_tagname[0].length() + l_tagname[1].length();
0380       if (IOV < 4294967296) {
0381         t1.SetTextSize(0.05);
0382         t1.DrawLatex(0.5, 0.96, Form("Ecal Linear Corrections, IOV %i - %i", run[1], run[0]));
0383       } else {  // time type IOV
0384         time_t t = run[0];
0385         char buf0[256], buf1[256];
0386         struct tm lt;
0387         localtime_r(&t, &lt);
0388         strftime(buf0, sizeof(buf0), "%F %R:%S", &lt);
0389         buf0[sizeof(buf0) - 1] = 0;
0390         t = run[1];
0391         localtime_r(&t, &lt);
0392         strftime(buf1, sizeof(buf1), "%F %R:%S", &lt);
0393         buf1[sizeof(buf1) - 1] = 0;
0394         if (ntags == 2) {
0395           if (len < 80) {
0396             t1.SetTextSize(0.02);
0397             t1.DrawLatex(0.5, 0.96, Form("%s %s - %s %s", l_tagname[1].c_str(), buf1, l_tagname[0].c_str(), buf0));
0398           } else {
0399             t1.SetTextSize(0.03);
0400             t1.DrawLatex(0.5, 0.96, Form("Ecal Linear Corrections, IOV %s - %s", buf1, buf0));
0401           }
0402         } else {
0403           t1.SetTextSize(0.015);
0404           t1.DrawLatex(0.5, 0.96, Form("%s, IOV %s - %s", l_tagname[0].c_str(), buf1, buf0));
0405         }
0406       }
0407 
0408       float xmi[3] = {0.0, 0.26, 0.74};
0409       float xma[3] = {0.26, 0.74, 1.00};
0410       TPad*** pad = new TPad**[3];
0411       //      std::cout << " entries " << EBtot[0] << " mean " << EBmean[0] << " rms " << EBrms[0] << std::endl;
0412       for (int valId = 0; valId < kValues; valId++) {
0413         pad[valId] = new TPad*[3];
0414         for (int obj = 0; obj < 3; obj++) {
0415           float yma = 0.94 - (0.32 * valId);
0416           float ymi = yma - 0.28;
0417           pad[valId][obj] =
0418               new TPad(Form("p_%i_%i", obj, valId), Form("p_%i_%i", obj, valId), xmi[obj], ymi, xma[obj], yma);
0419           pad[valId][obj]->Draw();
0420         }
0421         double vt = (double)EBtot[valId];
0422         EBmean[valId] = EBmean[valId] / vt;
0423         EBrms[valId] = (EBrms[valId] / vt) - (EBmean[valId] * EBmean[valId]);
0424         EBrms[valId] = sqrt(EBrms[valId]);
0425         if (EBrms[valId] == 0.)
0426           EBrms[valId] = 0.001;
0427         pEBmin[valId] = EBmean[valId] - kRMS * EBrms[valId];
0428         pEBmax[valId] = EBmean[valId] + kRMS * EBrms[valId];
0429         //  std::cout << " mean " << EBmean[valId] << " rms " << EBrms[valId] << " entries " << EBtot[valId] << " min " << pEBmin[valId]
0430         //        << " max " << pEBmax[valId] << std::endl;
0431         vt = (double)EEtot[valId];
0432         EEmean[valId] = EEmean[valId] / vt;
0433         EErms[valId] = (EErms[valId] / vt) - (EEmean[valId] * EEmean[valId]);
0434         EErms[valId] = sqrt(EErms[valId]);
0435         if (EErms[valId] == 0.)
0436           EErms[valId] = 0.001;
0437         pEEmin[valId] = EEmean[valId] - kRMS * EErms[valId];
0438         pEEmax[valId] = EEmean[valId] + kRMS * EErms[valId];
0439         //  std::cout << " mean " << EEmean[valId] << " rms " << EErms[valId] << " entries " << EEtot[valId] << " min " << pEEmin[valId]
0440         //        << " max " << pEEmax[valId] << std::endl;
0441       }
0442 
0443       for (int valId = 0; valId < 3; valId++) {
0444         pad[valId][0]->cd();
0445         DrawEE(endc_m[valId], pEEmin[valId], pEEmax[valId]);
0446         pad[valId][1]->cd();
0447         DrawEB(barrel[valId], pEBmin[valId], pEBmax[valId]);
0448         barrel[valId]->SetStats(false);
0449         pad[valId][2]->cd();
0450         DrawEE(endc_p[valId], pEEmin[valId], pEEmax[valId]);
0451       }
0452 
0453       std::string ImageName(this->m_imageFileName);
0454       canvas.SaveAs(ImageName.c_str());
0455       return true;
0456     }  // fill method
0457   };   // class EcalLinearCorrectionsDiffBase
0458   using EcalLinearCorrectionsDiffOneTag = EcalLinearCorrectionsDiffBase<cond::payloadInspector::SINGLE_IOV, 1>;
0459   using EcalLinearCorrectionsDiffTwoTags = EcalLinearCorrectionsDiffBase<cond::payloadInspector::SINGLE_IOV, 2>;
0460 
0461 }  // namespace
0462 
0463 // Register the classes as boost python plugin
0464 PAYLOAD_INSPECTOR_MODULE(EcalLinearCorrections) {
0465   PAYLOAD_INSPECTOR_CLASS(EcalLinearCorrectionsPlot);
0466   PAYLOAD_INSPECTOR_CLASS(EcalLinearCorrectionsDiffOneTag);
0467   PAYLOAD_INSPECTOR_CLASS(EcalLinearCorrectionsDiffTwoTags);
0468 }